Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
We present a simple numerical solution algorithm for a gradient flow for the Modica–Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability ana...
Guardado en:
Autores principales: | , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f0733653ddd848d58da255a6c456502a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:f0733653ddd848d58da255a6c456502a |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:f0733653ddd848d58da255a6c456502a2021-11-29T00:56:53ZFast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation1563-514710.1155/2021/2414209https://doaj.org/article/f0733653ddd848d58da255a6c456502a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2414209https://doaj.org/toc/1563-5147We present a simple numerical solution algorithm for a gradient flow for the Modica–Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability analysis, and the goodness of fit of transition width is tested. We perform various numerical experiments to investigate the property of the gradient flow equation, to verify the characteristics of our method in the image segmentation application, and to analyze the effect of parameters. In particular, we propose an initialization process based on target objects. Furthermore, we conduct comparison tests in order to check the performance of our proposed method.Yibao LiSungha YoonJian WangJintae ParkSangkwon KimChaeyoung LeeHyundong KimJunseok KimHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 |
spellingShingle |
Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Yibao Li Sungha Yoon Jian Wang Jintae Park Sangkwon Kim Chaeyoung Lee Hyundong Kim Junseok Kim Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation |
description |
We present a simple numerical solution algorithm for a gradient flow for the Modica–Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability analysis, and the goodness of fit of transition width is tested. We perform various numerical experiments to investigate the property of the gradient flow equation, to verify the characteristics of our method in the image segmentation application, and to analyze the effect of parameters. In particular, we propose an initialization process based on target objects. Furthermore, we conduct comparison tests in order to check the performance of our proposed method. |
format |
article |
author |
Yibao Li Sungha Yoon Jian Wang Jintae Park Sangkwon Kim Chaeyoung Lee Hyundong Kim Junseok Kim |
author_facet |
Yibao Li Sungha Yoon Jian Wang Jintae Park Sangkwon Kim Chaeyoung Lee Hyundong Kim Junseok Kim |
author_sort |
Yibao Li |
title |
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation |
title_short |
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation |
title_full |
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation |
title_fullStr |
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation |
title_full_unstemmed |
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation |
title_sort |
fast and efficient numerical finite difference method for multiphase image segmentation |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/f0733653ddd848d58da255a6c456502a |
work_keys_str_mv |
AT yibaoli fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT sunghayoon fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT jianwang fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT jintaepark fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT sangkwonkim fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT chaeyounglee fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT hyundongkim fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation AT junseokkim fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation |
_version_ |
1718407683965452288 |